 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: March 2026
Volume 11 | Issue 3
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21686
Article Published : 8549
Total Authors : 22487
Total Reviewer : 811
Total Countries : 159
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Climate Change Impact Assessment and Flood Risk Evaluation Using Statistical DownScaling Model: A Case Study of Nashik City |
| Authors Name: | Shruti Rajendra Netake , Dr. Shubhada Koranne |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204428
|
| Published Paper Id: | IJRTI2505314 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | This study examines the potential impacts of climate change on rainfall patterns and flood risk in Nashik, a city situated along the banks of the Godavari River in India. Leveraging the Statistical Downscaling Model (SDSM), the research generates localized climate projections under different Representative Concentration Pathway (RCP) scenarios to assess the future challenges and risks faced by the city. The study utilizes historical data on rainfall, maximum temperature (Tmax), and minimum temperature (Tmin) to calibrate the SDSM model. Future climate projections are then developed for two time periods (2024-2050 and 2051-2099) under the RCP 4.5 and RCP 8.5 scenarios, allowing for an in-depth analysis of the potential changes in precipitation and temperature patterns. The results indicate that Nashik is likely to experience a moderate increase in rainfall, particularly during the monsoon season, under both RCP scenarios. However, the RCP 8.5 scenario, representing a high-emission pathway, shows more pronounced changes, including a sharper rise in Tmax and Tmin, suggesting a trend towards hotter and wetter conditions in the long term. These projections have significant implications for urban flood risk, water resource management, and the need for climate-resilient planning and adaptation strategies. Based on these findings, the research provides a comprehensive set of recommendations for Nashik, including upgrading drainage infrastructure, implementing nature-based solutions, and enhancing community awareness and preparedness. The methodological approach and insights from this study can also inform climate adaptation efforts in other flood-prone regions, contributing to the development of more sustainable and resilient urban environments. Overall, this report presents a comprehensive and well-structured analysis of future climate projections and flood risk assessment for Nashik city. The study utilizes a robust methodological approach, combining historical data analysis, state-of-the-art climate modelling techniques, and a thorough validation process to ensure the reliability of the findings. |
| Keywords: | Climate Change, SDSM, Nashik, Flood Risk, RCP Scenarios, Rainfall Projection. |
| Cite Article: | "Climate Change Impact Assessment and Flood Risk Evaluation Using Statistical DownScaling Model: A Case Study of Nashik City", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.d100-d110, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505314.pdf |
| Downloads: | 000398 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2505314
Registration ID:204428
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: d100-d110 Country: Chhatrapati Sambhajinagar, Maharashtra, India Research Area: Civil Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505314 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505314 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||